The Cloud Speech API enables easy integration of Google speech recognition technologies into developer applications. Send audio and receive a text transcription from the Cloud Speech API service.
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Read Prerequisites and How to run a sample first.
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Install dependencies:
With npm:
npm install
With yarn:
yarn install
View the documentation or the source code.
Usage: node recognize.js --help
Commands:
sync <filename> Detects speech in a local audio file.
sync-gcs <gcsUri> Detects speech in an audio file located in a Google Cloud Storage bucket.
sync-words <filename> Detects speech in a local audio file with word time offset.
async <filename> Creates a job to detect speech in a local audio file, and waits for the job to complete.
async-gcs <gcsUri> Creates a job to detect speech in an audio file located in a Google Cloud Storage bucket,
and waits for the job to complete.
async-gcs-words <gcsUri> Creates a job to detect speech with word time offset in an audio file located in a Google
Cloud Storage bucket, and waits for the job to complete.
stream <filename> Detects speech in a local audio file by streaming it to the Speech API.
listen Detects speech in a microphone input stream. This command requires that you have SoX
installed and available in your $PATH. See
https://www.npmjs.com/package/node-record-lpcm16#dependencies
Options:
--help Show help [boolean]
--encoding, -e [string] [default: "LINEAR16"]
--sampleRateHertz, -r [number] [default: 16000]
--languageCode, -l [string] [default: "en-US"]
Examples:
node recognize.js sync ./resources/audio.raw -e LINEAR16 -r 16000
node recognize.js async-gcs gs://gcs-test-data/vr.flac -e FLAC -r 16000
node recognize.js stream ./resources/audio.raw -e LINEAR16 -r 16000
node recognize.js listen
For more information, see https://cloud.google.com/speech/docs
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Set the GCLOUD_PROJECT and GOOGLE_APPLICATION_CREDENTIALS environment variables.
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Run the tests:
With npm:
npm test
With yarn:
yarn test